Landscape Metrics for Categorical Map Patterns 🗺️ in R

Algorithms from circuit theory to predict connectivity in heterogeneous landscapes

Computing landscape metrics in the Python ecosystem

📦 R package to simulate neutral landscape models 🏔

Pattern-based spatial analysis in R

Functions to compute omnidirectional landscape connectivity using circuit theory and the Omniscape algorithm.

📦 R package for some of the less-glamorous tasks involved in landscape analysis 🌏

GeoGraph provides a tool for analysing habitat fragmentation and related problems in landscape ecology. GeoGraph builds a geospatially referenced graph from land cover or field survey data and enables graph-based landscape ecology analysis as well as interactive visualizations.

Simulation of multiple ecological functional corridors

population and community dynamics on spatial graphs, in julia. (formerly EcoDynamics.jl)

A tool for calculating landscape connectivity and other ecologically scaled landscape metrics

LecoS QGis Plugin - Contains several analytical functions for land cover analysis

📦 Analyse species-habitat associations in R

Generation of neutral landscapes in Julia.

R package for calculating landscape and shape metrics for vector layers

R package for working with spatial absorbing Markov chains

A Python package to create neutral landscape models

A crash course in analysing spatial patterns of the landscape using R

A Postgres/PostGIS extension for landscape metrics calculations.

Easily install and load packages from the landscapeverse